CrawlJobs Logo

Machine Learning Engineer – HPC

China, Shanghai · Job Posted February 18, 2026
Apply Position
Job Link Share

Job Description

At Meshy, we believe 3D creation should be boundless and accessible. Our mission statement is simple: unleash creativity. We built a full pipeline for 3D content ranging from text / image to 3D, texturing, texture editing, animation rigging, etc. We also built a vibrant community for our creators, where people can share their work, take inspiration from others, and even use it as an asset marketplace for their games and prototypes. We are the market leader in 3D generative AI, recognized as the No.1 in popularity among 3D AI tools (according to 2024 A16Z Games survey), and we generate real value and is used by enterprises (including Meta, Square Enix, Deepmind, etc.) and millions of end users. Meshy is used in game and film production, in 3D printing, in industrial product design, in enablement of novel product features such as user-generated content, and even in training and simulation for robotics and physical AI.

Job Responsibility

  • Design, implement, and optimize GPU computing kernels to accelerate model training and inference for next-generation 3D GenAI models
  • Develop and maintain domain-specific libraries and performance-critical components for 3D generation workloads
  • Work closely with researchers and infra engineers to identify bottlenecks, benchmark performance, and deliver high-efficiency, production-ready GPU modules

Requirements

  • Hands-on experience with CUDA and GPU programming
  • Strong programming skills in C++ and Python
  • Solid understanding of parallel programming, performance tuning, and numerical computation

Nice to have

  • Experience with quantization, model compression, or other efficiency-oriented model optimization techniques
  • Knowledge of computer graphics, rendering pipelines, or geometry processing
  • Familiarity with GPU profiling tools (e.g., Nsight, nvprof) or hardware-aware optimization

Looking for more opportunities?

Search for other job offers that match your skills and interests.

Similar Jobs for

Machine Learning Engineer – HPC

8 matching positions

Lead Machine Learning Inference Engineer, Advertising

Roku is changing how the world watches TV. Roku is the #1 TV streaming platform ...
Location
Location
United States , Austin
Salary
Salary:
Not provided
roku.com Logo
Roku
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • M.S. or above in CS, ECE, or a related field
  • 10+ years of experience in developing and deploying large-scale, distributed systems, with at least 5 years in a leadership or technical lead role
  • Strong programming skills in high-performance languages
  • Deep understanding of inference frameworks and ML system deployment
  • Proven experience optimizing performance for large-scale machine learning systems, including a deep knowledge of SOTA model optimizations, hardware-software co-design, GPU acceleration, and HPC techniques
  • Excellent communication and collaboration skills
  • Experience leading teams working on high-throughput, low-latency ML serving systems
  • Experience collaborating with and leading global, cross-functional teams
  • Contributions to open-source ML or systems projects
Job Responsibility
Job Responsibility
  • Lead the design and development of a SOTA Inference platform
  • Oversee the development of monitoring, observability, and other tooling to ensure system and model performance, reliability, and scalability of online inference services
  • Identify and resolve system inefficiencies, performance bottlenecks, and reliability issues, ensuring optimized end-to-end performance
  • Stay at the forefront of advancements in inference frameworks, ML hardware acceleration, and distributed systems, and incorporate innovations where and when they are impactful
What we offer
What we offer
  • Global access to mental health and financial wellness support and resources
  • Healthcare (medical, dental, and vision) where applicable
  • Life, accident, disability, commuter, and retirement options (401(k)/pension) where applicable
  • Time off in accordance with local leave policies
  • Fulltime
Read More
Arrow Right

Sr. Specialist Solutions Architect, High Performance Computing and Machine Learning

AWS Worldwide Specialist Solutions Architects (SSAs) are technologists with deep...
Location
Location
Singapore , Singapore
Salary
Salary:
Not provided
Amazon
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 8+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience
  • 3+ years of design, implementation, or consulting in applications and infrastructures experience
  • 10+ years of IT development or implementation/consulting in the software or Internet industries experience
Job Responsibility
Job Responsibility
  • Design Customer Solutions – Collaborate with the wider AWS teams to help customers and partners architect HPC Solutions that leverage AWS Services
  • Engage with Solution Architects, Account Managers, Professional Services, and Partners to define an HPC Engagement strategy for AWS operational territories and key accounts, with emphasis on public sector National Super Computing Centers, Government agencies, and/or AI/ML, CAE, Weather and accelerated computing with GPU
  • Thought Leadership – Provide thought leadership on solutions that benefit customers through the use of AWS Services
  • Serve as a key member of the business development and accounting management team in helping to ensure customer success in building and migrating applications, software and services on the AWS platform
  • Assist solution providers with the definition and implementation of technical and business strategies
  • Capture and share best-practice knowledge amongst the worldwide AWS solution architect community
  • Understand AWS market segments, and industry verticals
  • Understand and exploit the use of internal business support systems
  • Fulltime
Read More
Arrow Right

Machine Learning Researcher - LLM

Our Machine Learning team is expanding into large language models (LLMs), and we...
Location
Location
United States , Bala Cynwyd (Philadelphia Area), Pennsylvania
Salary
Salary:
Not provided
sig.com Logo
Susquehanna International Group
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • PhD in Computer Science, Machine Learning, or a related field—or equivalent practical experience
  • Experience in ML research or engineering, with a focus on deep learning or generative models
  • A strong publication record in top-tier conferences such as NeurIPS, ICML, or ICLR
  • Strong background in modern language modeling techniques such as LLM supervised fine-tuning, RLHF, reasoning models, embedding models, multimodal models, or agentic architectures
  • Proficiency in Python and ML frameworks such as PyTorch (preferred), TensorFlow, or JAX
  • Experience with large-scale distributed training, GPU optimization (CUDA/ROCm), or HPC environments
  • Experience designing and operating large-scale data annotation and curation pipelines, including labeling tools, workflow orchestration, quality-control auditing, and learning feedback loops
  • Demonstrated ability to take research from conception to production in high-stakes environments
  • Strong communication skills and a collaborative mindset
Job Responsibility
Job Responsibility
  • Lead and contribute to research initiatives that advance LLM capabilities, including alignment, fine-tuning, and efficient training
  • Design and execute large-scale experiments, from data pre-processing to model evaluation and deployment
  • Collaborate with world-class engineers, traders, and researchers to bring ideas from prototype to production
  • Optimize model performance for structured tasks such as function calling, multilingual applications, and real-time inference
Read More
Arrow Right

Principal AI Factory Solution Product Manager

Product Manager - AI Factory Solution
Location
Location
United States , Spring
Salary
Salary:
152000.00 - 349000.00 USD / Year
https://www.hpe.com/ Logo
Hewlett Packard Enterprise
Expiration Date
July 27, 2026
Flip Icon
Requirements
Requirements
  • Bachelor's degree in Computer Science, Engineering, Business, or a related field
  • MBA or advanced degree preferred
  • 10+ years of product management experience, with at least 5 years focused on AI/ML products or solutions
  • Demonstrated ability to build large-scale AI solutions that bring together hardware, software and services into a cohesive offering
  • Strong understanding of AI technologies, including AI/ML lifecycle (training, tuning, inferencing), large language models, computer vision, and cloud-based AI platforms (e.g., AWS SageMaker, Microsoft AzureML, Google AI)
  • Proven track record of launching successful AI products, with experience in agile methodologies and tools like Jira
  • Background in High Performance Computing (HPC) and experience blending it with AI workloads will be an advantage
  • Excellent analytical skills, with proficiency in data analysis and market testing
  • Outstanding communication and stakeholder management abilities, capable of presenting to technical and non-technical audiences up to the senior executive/SVP levels
  • Ability to thrive in a startup-like fast-paced, innovative environment with strong problem-solving skills
Job Responsibility
Job Responsibility
  • Define and drive the overall AI factory at-scale and sovereign solution vision, roadmap, and features, while closely aligning with customer needs and HPE strategic goals
  • Define and drive the key software components necessary for the solution, which may be a mix of HPE developed, commercial and community IP
  • Conduct market research, competitive analysis, and customer interviews to identify AI factory opportunities and validate solution ideas and software features in a quick turn manner
  • Collaborate with engineers, product managers and presales architects to translate requirements into technical specifications and prototypes
  • Oversee the software integration and end-to-end solution lifecycle, from feature ideation and MVP development to launch, iteration, and scaling
  • Monitor solution performance using KPIs like full-stack wins, product mix, customer satisfaction, and iterate offering based on data insights
  • Work with legal, finance, pricing and supply chain to setup and manage resale contracts for commercial SW
  • Partner with sales and marketing to develop go-to-market strategies, pricing models, support strategies and customer enablement materials
  • Ensure solution complies with ethical AI standards while ensuring highest level of data privacy and sovereignty (e.g., GDPR, CCPA)
  • Stay abreast of AI trends, such as generative models, agentic AI, and industry applications
What we offer
What we offer
  • Health & Wellbeing
  • Personal & Professional Development
  • Unconditional Inclusion
  • Fulltime
Read More
Arrow Right

Senior Engineer, Quantum Algorithms

We are looking for a Software Engineer with deep expertise in Mathematical Optim...
Location
Location
United States , Hoboken
Salary
Salary:
Not provided
Quantum Computing Inc.
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 6+ years of experience in software engineering with a focus on systems or HPC
  • Strong proficiency in C++ and Python
  • Experience with quantum algorithms, quantum information, or quantum optics
  • Strong mathematical background in Convex Optimization, Quadratic Programming (QP), Mixed-Integer Linear Programming (MILP), or Gradient-Free Methods
  • Experience with Numerical Analysis and high-performance math libraries (e.g., BLAS, LAPACK, Eigen)
  • Familiarity with protocols (e.g., UART, SPI, gRPC, REST) and software integration
  • Strong understanding of performance tuning, memory management, and fault-tolerant design
  • Familiarity with Linux system programming and build toolchains (CMake, GCC/Clang)
  • Experience working in cross-functional teams involving hardware, physics, and software.
Job Responsibility
Job Responsibility
  • Design and implement the high-performance C++ runtime and Hardware Abstraction Layer (HAL) for photonic optimization computers
  • Profile and optimize critical execution paths to minimize latency, addressing bottlenecks in memory bandwidth, cache locality, and data transfer
  • Collaborate with FPGA, Electrical engineers and Firmware engineers to ensure to create, test, and optimize device interfaces
  • Develop algorithmic enhancements to usage of quantum feedback to solve NP hard optimization problems more efficiently with higher solution quality
  • Write efficient, thread-safe code for concurrent hardware control and real-time signal processing
  • Design and implement novel algorithms that map optimization and machine-learning problems onto entropy-based photonic quantum processors, including post-processing pipelines
  • Build software layers to decompose and orchestrate large-scale optimization problems across multiple photonic hardware resources
  • Contribute to quantum algorithms on the company roadmap
  • Fulltime
Read More
Arrow Right

Data Center GPU Performance Attainment Lead

The successful candidate will assume responsibility for post-silicon activities ...
Location
Location
United States , Austin
Salary
Salary:
178400.00 - 267600.00 USD / Year
amd.com Logo
AMD
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Proven leadership skills with experience mentoring junior engineers, coordinating cross-functional teams, and driving complex performance characterization and optimization efforts across multiple locations
  • Strong programming skills, with preference for Python and experience with ML frameworks (e.g., TensorFlow or PyTorch)
  • Proficiency in C/C++, scripting (Shell), and familiarity with performance tooling and automation workflows
  • Strong understanding of computer architecture and system organization
  • Deep knowledge of HPC and ML workloads, including scaling behavior and performance bottlenecks
  • Experience with scale-up and scale-out performance analysis at rack-level and cluster-level deployments
  • Strong analytical and problem-solving skills, with a high level of attention to detail
  • Excellent interpersonal, collaboration, and communication skills
  • Bachelor's or Master's degree in Computer Engineering, Electrical Engineering, Computer Science, or related field
Job Responsibility
Job Responsibility
  • Develop and maintain automation frameworks for workload execution and performance data collection, enabling scalable and repeatable characterization across configurations
  • Become a key stakeholder in the product power and performance definition process, ensuring alignment between architectural goals and measured silicon performance
  • Develop, execute, and evolve performance characterization and optimization test plans across diverse usage scenarios, including High Performance Computing (HPC) and Machine Learning (ML) workloads
  • Drive performance attainment for both scale-up (intra-node) and scale-out (multi-node) configurations, including: Multi-GPU scaling efficiency within a node, Interconnect bandwidth utilization (e.g., XGMI / Infinity Fabric), Collective communication efficiency and communication-compute overlap, Workload scaling behavior (strong and weak scaling), Identification and mitigation of system-level bottlenecks across distributed environments
  • Analyze interactions between power management features and performance behavior, optimizing configurations to achieve the best performance and performance-per-watt tradeoffs
  • Identify architectural and system-level bottlenecks and develop strategies to stress, expose, and mitigate worst-case performance scenarios
  • Support prototyping and experimentation efforts to evaluate enhancements and new features that impact performance
  • Debug and troubleshoot system-level issues across hardware, firmware, and software stacks observed in lab and production test environments
  • Collaborate with cross-functional teams (architecture, firmware, drivers, platform, and workload teams) to drive root-cause analysis through to resolution and performance closure
  • Proactively drive continuous improvement of post-silicon performance methodologies, tools, and workflows
  • Fulltime
Read More
Arrow Right

Applied AI & GPU Software Engineer

AMD is seeking a Software Engineer to join the Software Ecosystem Enablement tea...
Location
Location
Poland , Warsaw
Salary
Salary:
Not provided
amd.com Logo
AMD
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 10+ years of professional software development experience
  • Solid programming fundamentals in C/C++
  • Experience developing or contributing to GPU-accelerated applications
  • Solid understanding of GPU programming fundamentals
  • Debugging experience with GPU kernels or performance-critical code
  • Familiarity with modern ML frameworks and inference systems
  • Experience with denoising, neural rendering, or ML simulation is an asset
  • Experience with content creation apps, CAD/CAE tools, or HPC pipeline is an asset
Job Responsibility
Job Responsibility
  • Investigate and prototype hybrid ML systems for graphics, simulation, and media-generation pipelines
  • Integrate existing ML models and inference pipelines into commercial software systems
  • Design efficient workload scheduling and distribution across heterogeneous resources
  • Profile workloads across GPU, NPU, and CPU to identify bottlenecks and optimize performance
  • Evaluate runtimes, execution providers, and deployment strategies for modern hardware architectures
  • Collaborate with domain experts and existing GPU engineering teams
What we offer
What we offer
  • Benefits offered are described: AMD benefits at a glance
  • Fulltime
Read More
Arrow Right

Senior Product Manager - Ai Infrastructure And Solutions

The Senior Product Manager, AI Infrastructure and Solutions owns the system-leve...
Location
Location
United States , Santa Clara
Salary
Salary:
188000.00 - 282000.00 USD / Year
amd.com Logo
AMD
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Senior-level, cross-functional, large enterprise experience in Product Management, Solutions Product Management, Technical Product Management, Systems Engineering, or related roles in: Data center infrastructure
  • AI/ML platforms
  • HPC systems
  • Enterprise solutions
  • Integrated hardware + software products
  • Strong working knowledge of several of the following: Platform/system architecture (power/thermals, topology, I/O, networking, memory, RAS)
  • Firmware/driver and software stack dependencies
  • Benchmarking methodology and reproducibility
  • Demonstrated experience defining and launching system-level solutions requiring coordination across hardware, firmware, drivers, software frameworks, and partner ecosystems
  • Excellent communications, collaboration, and relationship building across functions and organizations, including experience presenting to executives
Job Responsibility
Job Responsibility
  • Own system-level product definition (HW + SW)
  • Author and maintain System Requirements Specifications (SRS) for solutions spanning hardware platform, firmware/driver, software stack, compatibility, manageability, and lifecycle expectations
  • Define assumptions, constraints, non-goals, and acceptance criteria
  • Translate customer/segment needs into prioritized requirements
  • Consolidate and normalize customer, Sales, OEM/ODM partner, and internal stakeholder inputs into a structured, prioritized requirements backlog with decision rationale
  • Ensure requirements are workload-grounded and aligned to segment outcomes
  • Lead cross-functional dependency and integration planning
  • Identify dependencies across silicon/platform, firmware/drivers, ROCm/software stack, frameworks, OEM systems, and cloud images
  • Surface integration risks early, drive tradeoff discussions, and maintain decision logs
  • Set performance targets and benchmarking expectations (with TME/Eng)
What we offer
What we offer
  • Benefits offered are described: AMD benefits at a glance
  • Fulltime
Read More
Arrow Right